Acta mathematica scientia,Series B

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LARGE DEVIATIONS AND MODERATE DEVIATIONS FOR m-NEGATIVELY ASSOCIATED RANDOM VARIABLES

Hu Yijun; Ming Ruixing; Yang Wenquan   

  1. School of Mathematics and Statistics, Wuhan University, Wuhan 430072, China
  • Received:2003-12-15 Revised:2005-06-15 Online:2007-10-20 Published:2007-10-20
  • Contact: Hu Yijun

Abstract:

M-negatively associated random variables, which generalizes the classical one of negatively associated random variables and includes m-dependent sequences as its particular case, are introduced and studied. Large
deviation principles and moderate deviation upper bounds for stationary m-negatively associated random variables are proved. Kolmogorov-type and Marcinkiewicz-type strong laws of large numbers as well as the three series theorem for m-negatively associated random variables are also given.

Key words: negatively associated random variables, stationary sequence, strong law of large numbers, large deviations, moderate deviations

CLC Number: 

  • 60F15
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